Chapter 4: More Plots and Customizations; Introduction; Setting the transparency and size of axis labels; Adding a shadow to the chart line; Adding a data table to the figure; Using subplots; Customizing grids; Creating contour plotsFilling an under-plot area; Drawing polar plots; Visualizing the file system tree using a polar bar; Chapter 5: Making 3D Visualizations; Introduction; Creating 3D bars; Creating 3D histograms; Animating in matplotlib; Animating with OpenGL; Chapter 6: Plotting Charts with Images and Maps; Introduction; Processing images with PIL; Plotting with images; Displaying image with other plots in the figure; Plotting data on a map using Basemap; Plotting data on a map using Google Map API; Generating CAPTCHA images;

Chapter 7: Using Right Plots to Understand Data; Introduction; Understanding logarithmic plotsUnderstanding spectrograms; Creating a stem plot; Drawing streamlines of vector flow; Using colormaps; Using scatter plots and histograms; Plotting the cross-correlation between two variables; Importance of autocorrelation; Chapter 8: More on Matplotlib Gems; Introduction; Drawing barbs; Making a box and whisker plot; Making Gantt charts; Making errorbars; Making use of text and font properties; Rendering text with LaTeX; Understanding the difference between pyplot and OO API; Index

Summary: This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python.Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don't know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data.You will need to know some general programming concepts, and any kind of programming experience will be helpful, but the code in this book is explained almost line by line. You don't need math for this book; every concept that is introduced is thoroughly explained in plain English, and references are available for further interest in the topic.

Chapter 4: More Plots and Customizations; Introduction; Setting the transparency and size of axis labels; Adding a shadow to the chart line; Adding a data table to the figure; Using subplots; Customizing grids; Creating contour plotsFilling an under-plot area; Drawing polar plots; Visualizing the file system tree using a polar bar; Chapter 5: Making 3D Visualizations; Introduction; Creating 3D bars; Creating 3D histograms; Animating in matplotlib; Animating with OpenGL; Chapter 6: Plotting Charts with Images and Maps; Introduction; Processing images with PIL; Plotting with images; Displaying image with other plots in the figure; Plotting data on a map using Basemap; Plotting data on a map using Google Map API; Generating CAPTCHA images;

Chapter 7: Using Right Plots to Understand Data; Introduction; Understanding logarithmic plotsUnderstanding spectrograms; Creating a stem plot; Drawing streamlines of vector flow; Using colormaps; Using scatter plots and histograms; Plotting the cross-correlation between two variables; Importance of autocorrelation; Chapter 8: More on Matplotlib Gems; Introduction; Drawing barbs; Making a box and whisker plot; Making Gantt charts; Making errorbars; Making use of text and font properties; Rendering text with LaTeX; Understanding the difference between pyplot and OO API; Index

This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python.Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don't know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data.You will need to know some general programming concepts, and any kind of programming experience will be helpful, but the code in this book is explained almost line by line. You don't need math for this book; every concept that is introduced is thoroughly explained in plain English, and references are available for further interest in the topic.